Triple
T13461938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trafalgar Falls |
E311393
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Papa Falls
Papa Falls is one of the twin waterfalls at Trafalgar Falls in Dominica, known for its larger cascade and scenic rainforest setting.
|
E1081932
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Papa Falls | Statement: [Trafalgar Falls, hasPart, Papa Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Papa Falls Context triple: [Trafalgar Falls, hasPart, Papa Falls]
-
A.
Ecola Falls
Ecola Falls is a scenic waterfall located in the Columbia River Gorge of Oregon, known for its forested setting and accessibility via popular hiking trails.
-
B.
Dunhinda Falls
Dunhinda Falls is a famous and picturesque waterfall near Badulla in Sri Lanka, renowned for its misty spray and lush surrounding scenery.
-
C.
Usri Falls
Usri Falls is a scenic multi-tiered waterfall and popular picnic spot located near Giridih in the Indian state of Jharkhand.
-
D.
Kampael Falls
Kampael Falls is a scenic waterfall and natural swimming spot located in the municipality of Ginatilan on Cebu Island in the Philippines.
-
E.
Wallace Falls
Wallace Falls is a prominent multi-tiered waterfall in Washington State known for its scenic hiking trails and dramatic cascades through lush forest.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Papa Falls Triple: [Trafalgar Falls, hasPart, Papa Falls]
Generated description
Papa Falls is one of the twin waterfalls at Trafalgar Falls in Dominica, known for its larger cascade and scenic rainforest setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Papa Falls Target entity description: Papa Falls is one of the twin waterfalls at Trafalgar Falls in Dominica, known for its larger cascade and scenic rainforest setting.
-
A.
Ecola Falls
Ecola Falls is a scenic waterfall located in the Columbia River Gorge of Oregon, known for its forested setting and accessibility via popular hiking trails.
-
B.
Dunhinda Falls
Dunhinda Falls is a famous and picturesque waterfall near Badulla in Sri Lanka, renowned for its misty spray and lush surrounding scenery.
-
C.
Usri Falls
Usri Falls is a scenic multi-tiered waterfall and popular picnic spot located near Giridih in the Indian state of Jharkhand.
-
D.
Kampael Falls
Kampael Falls is a scenic waterfall and natural swimming spot located in the municipality of Ginatilan on Cebu Island in the Philippines.
-
E.
Wallace Falls
Wallace Falls is a prominent multi-tiered waterfall in Washington State known for its scenic hiking trails and dramatic cascades through lush forest.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdeea935081909baffaadc8a8fac7 |
completed | May 7, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69fce38906cc8190a8e58fd13b25a385 |
completed | May 7, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fce403d03c81909432e41d47e6b53f |
completed | May 7, 2026, 7:12 p.m. |
Created at: April 9, 2026, 9:41 p.m.